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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
The "Python Machine Learning (1st edition)" book code repository and info resource
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Flax is a neural network library for JAX that is designed for flexibility.
A small package to create visualizations of PyTorch execution graphs
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Deep Learning tutorials in jupyter notebooks.
A few exercises for use at events.
Introduction to Statistics using Python
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
optimization routines for hyperparameter tuning
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Python implementation of Deep Learning book
Speaker slides from monthly meetups and conference